Feng Xie

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Causal Discovery

Latent Variables

Hierarchical Models

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR (2024)
Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. ICLR (2024)
Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
Automating the Selection of Proxy Variables of Unmeasured Confounders. CoRR (2024)
Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. CoRR (2023)
Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. Neurocomputing 526 (2023)
Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
Identification of Nonlinear Latent Hierarchical Models. CoRR (2023)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang
Identification of Nonlinear Latent Hierarchical Models. NeurIPS (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI (2022)
Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang
Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models. Entropy 24 (4) (2022)
Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang
Latent Hierarchical Causal Structure Discovery with Rank Constraints. CoRR (2022)
Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang
Latent Hierarchical Causal Structure Discovery with Rank Constraints. NeurIPS (2022)
Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Identification of Linear Non-Gaussian Latent Hierarchical Structure. ICML (2022)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI (2021)
Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124 (2020)
Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs. CoRR (2020)
Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie
Mining hidden non-redundant causal relationships in online social networks. Neural Comput. Appl. 32 (11) (2020)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR (2020)
Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. NeurIPS (2020)
Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang
Triad Constraints for Learning Causal Structure of Latent Variables. NeurIPS (2019)
Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) (2019)
Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao
An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data. IWQoS (2017)